Sr Machine Learning Engineer

5 Months ago • 5-5 Years • Data Analyst • $138,900 PA - $203,900 PA

Job Summary

Job Description

The Sr. Machine Learning Engineer will develop, implement, and maintain Hulu's recommendation and personalization algorithms. Responsibilities include algorithm development and maintenance using cutting-edge machine learning methods; feature engineering and optimization, developing and maintaining ETL pipelines; upholding algorithm development, testing, and deployment standards; and collaborating with product and business stakeholders to identify new personalization opportunities. The role requires expertise in deep learning, experience with large-scale data pipelines (AWS, Docker, Airflow, Databricks, S3, Spark), and the ability to communicate technical information to both technical and non-technical audiences. The engineer will play a crucial role in shaping Hulu's recommendation system.
Must have:
  • 5+ years experience in developing highly scalable machine learning products
  • Production-level, scalable Python code
  • Deep learning expertise (recommendation systems or NLP)
  • Experience deploying and maintaining pipelines (AWS, Docker, Airflow)
  • Big data solutions (Databricks, S3, Spark)
  • Full-stack ML pipeline experience
Good to have:
  • MS or PhD in relevant field
  • Java/Scala programming
  • Experience with content recommendation algorithms at scale
  • Metadata management, data lineage, data governance
  • Building streaming data pipelines (Kafka, Spark, Flink)

Job Details

Job Summary:

On any given day at Disney Entertainment & ESPN Technology, we’re reimagining ways to create magical viewing experiences for the world’s most beloved stories while also transforming Disney’s media business for the future. Whether that’s evolving our streaming and digital products in new and immersive ways, powering worldwide advertising and distribution to maximize flexibility and efficiency, or delivering Disney’s unmatched entertainment and sports content, every day is a moment to make a difference to partners and to hundreds of millions of people around the world.

A few reasons why we think you’d love working for Disney Entertainment & ESPN Technology

  • Building the future of Disney’s media business: DE&E Technologists are designing and building the infrastructure that will power Disney’s media, advertising, and distribution businesses for years to come.

  • Reach & Scale: The products and platforms this group builds and operates delight millions of consumers every minute of every day – from Disney+ and Hulu, to ABC News and Entertainment, to ESPN and ESPN+, and much more.

  • Innovation: We develop and execute groundbreaking products and techniques that shape industry norms and enhance how audiences experience sports, entertainment & news.

Our team is responsible for developing, implementing, and maintaining Hulu's recommendation and personalization algorithms. As part of this team, you will collaborate with Engineering, Product, and Data teams to apply machine learning techniques to achieve strategic personalization goals. You will explore innovative, cutting-edge methods for recommendations and constantly seek to optimize our processes. You will play a crucial role in reshaping the future of Hulu's recommendation system by challenging the status quo and making strategic technological decisions to enhance Hulu's business outcomes.

Responsibilities:

  • Algorithm Development and Maintenance: Utilize cutting edge machine learning methods to develop algorithms for personalization, recommendation, and other predictive systems and bring it to large-scale real-time recommendation pipeline; maintain algorithms deployed to production and be the point person in explaining methodologies to technical and non-technical teams

  • Feature Engineering and Optimization: Develop and maintain ETL pipelines using orchestration tools; deploy scalable streaming and batch data pipelines to support petabyte scale datasets

  • Development Best Practices: Maintain existing and establish new algorithm development, testing, and deployment standards

  • Collaborate with product and business stakeholders: Identify and define new personalization opportunities with product team and work with data teams to improve how we do data collection, experimentation and analysis

Basic Qualifications:

  • Bachelor’s degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience

  • 5+ years of experience in developing highly scalable machine learning products

  • 5+ years writing production-level, scalable Python codes

  • In-depth understanding of deep learning technology in recommendation system or NLP fields

  • Proficiency in at least one of the following deep learning framework, tensorflow, pytorch

  • Experience deploying and maintaining pipelines (AWS, Docker, Airflow) and in engineering big-data solutions using technologies like Databricks, S3, and Spark

  • Experience building and deploying full stack ML pipelines: data extraction, data mining, model training, feature development, testing, and deployment

  • Ability to articulate the usage and behavior of models and algorithms to both technical and non-technical audiences

Preferred Qualifications:

  • MS or PhD in statistics, math, computer science, or related quantitative field

  • Familiarity with Java and/or Scala programming languages

  • Production experience with developing content recommendation algorithms at scale and familiar with metadata management, data lineage, and principles of data governance

  • Building streaming data pipelines using Kafka, Spark, or Flink

#DISNEYTECH


The hiring range for this position in Los Angeles, CA is $138,900 - $186,200 per year, in San Francisco, CA $152,100 - $203,900 and in Seattle, WA is $145,400 - $195,000 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

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About The Company

From classic animated features and exhilarating theme park attractions to cutting edge sports coverage, and the hottest shows on television, The Walt Disney Company has been making magic since 1923, creating unforgettable stories that connect with audiences around the world. And we’re just getting started!

The key to our success…. The Cast, Crew, Imagineers and Employees who honor Disney’s rich legacy by stretching the bounds of imagination to create the never-before-seen, bringing unparalleled entertainment experiences to people of all ages. Begin a career that delivers unparalleled creative content and experiences to audiences around the world and just imagine the stories you could be part of…

What is #LifeAtDisney like? It’s a series of magical moments with cast members and employees developing and telling our stories in the most innovative ways. Whether it’s a day spent as a Disney VoluntEAR, or celebrating the release of a new interactive experience, retail product or movie, our days are filled with the knowledge that we are creating entertainment experiences the whole family can enjoy. Follow @DisneyCareers on Facebook, Twitter and Instagram for a peek behind-the-curtain, and discover how you could connect to a world of stories with Disney!

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